CuspAI
@cusp_ai
Pioneering breakthrough materials to accelerate human progress.
I am proud to announce that today @cusp_ai has closed a $100M Series A fundraise, co-led by @NEA and @Temasek, with participation from @nvidia’s NVentures, @SamsungVentures and @Hyundai_Worldwide.
We’re excited to introduce the Open Direct Air Capture 2025 dataset, the largest open dataset for discovering advanced materials that capture CO2 directly from the air. Developed by Meta FAIR, @GeorgiaTech, and @cusp_ai, this release enables rapid, accurate screening of carbon…
It was a huge pleasure to work with the @AIatMeta and @GeorgiaTech teams to release this new and exciting ODAC25 dataset on CO2 capture materials.
We’re excited to introduce the Open Direct Air Capture 2025 dataset, the largest open dataset for discovering advanced materials that capture CO2 directly from the air. Developed by Meta FAIR, @GeorgiaTech, and @cusp_ai, this release enables rapid, accurate screening of carbon…
Welcome to the @cusp_ai family, @n_gao96! 🚀 Great having you on board - looking forward to building together🔥 💪🔥
Singapore bound for #ICLR2025 next week! ✈️ Diving into foundation models for materials these days - would love to connect if you're in this space! Ping me for a chat ☕ Also excited to see the brilliant @takeru_miyato present our paper as an oral. Don't miss it! 🌈
Synchronization is ubiquitous in nature and is a key mechanism for information processing in the brain. We introduce AKOrN as a dynamical alternative to threshold units, which can be combined with MLPs, CNNs or Transformers. ICLR'25 Oral. To feel the vibe: takerum.github.io/akorn_project_…
Better batteries, cleaner bioplastics and more powerful semiconductors await. Here’s how AI models are dreaming up the materials of the future econ.st/3XuVrkM Illustration: Mark Pernice
The world needs new materials to advance human progress and build a sustainable future for our children. I am thrilled that this world class team of advisors will provide their support and guidance to achieve our goals.
Yann is Meta's Chief AI Scientist, an NYU Professor & Turing Prize Laureate; Kristin founded the Materials Project & is a UC Berkeley Prof; and Verity is an AI policy expert, author, and director of AI and Geopolitics Project at Cambridge.
I am proud to announce the pioneers who will be joining Nobel Laureate Prof. Geoffrey Hinton on the CuspAI Advisory Board! Yann Lecun , Prof. Kristin Persson and Verity Harding will join our mission to build an AI search engine for discovering novel breakthrough materials.
👩🚀 We are excited to share that Gloria Capano has joined our team as a Member of Technical Staff. Gloria brings deep expertise in computational chemistry, machine learning, and AI infrastructure. Her impressive track record in developing and scaling applied AI makes her the…
🧑🚀 We are thrilled to announce that @alledemaria has joined Cusp as VP of Platform Engineering. Most recently Head of Core Engineering at Isomorphic Labs, with prior roles at Google DeepMind and Synthace and Co-Founder of Open Source Project - Kapitan, Alessandro brings…
👨🚀 2025 is off to a great start - today we're excited to share that @sinjax has joined Cusp as Member of Technical Staff! With extensive experience in multimodal AI systems, large language models, and autonomous systems from his roles at DeepMind, FiveAI (Bosch), and Amazon, Sina…
Excited to share that off on a new adventure! After an incredible four years at GDM, I'll be joining the talented team at @cusp_ai. Eager to contribute to their mission of breakthrough material discovery; big focus on sustainability, including improved carbon capture technology.
We're thrilled to welcome Hannah Openshaw to the Cusp team as Technical Program Manager! A physicist by training, Hannah brings extensive experience in driving AI and scientific initiatives, cross-functional collaboration, and communication. Her proven track record in bridging…
Our paper got a prize :) Cheers to lead author @johannbrehmer, and fellow co-authors Sönke Behrends, and @TacoCohen. Our results hint that yes, also at large scale of data and compute, if your data has symmetries, you might be better off building these into your network.
The best paper award for the Algebra and Geometry track goes to "Does Equivariance Matter at Scale?" presented by Johann Brehmer.
@NeurIPSConf 2024 turned out to be really great and also very surprising! I attended a dinner with a set of INCREDIBLE scientists: @wellingmax, @KyleCranmer, @zdeborova, @ulrich@xbresson, @lipmanya and @ylecun.
Randomly walked into @wellingmax. After years of NeurIPS, I figured my optimal policy is to tweet and random walk and repeat. It's working out well so far.
📅 Friday, Dec 13th Toward Scientific Superintelligence with @LilaSciences Sciences and NVIDIA (Featuring Chris M. Bishop - @MSFTResearch , @wellingmax - @cusp_ai , @AndrewLBeam - @LilaSciences ) lu.ma/nt1c4vf4
How did the school in Llanfyllin (pop. 1,586) produce an AI entrepreneur with a $30m Seed round AND the youngest manager in the history of US Major League Soccer in the same class, and what can it tell us about British Dynamism? Amazing to see the rise of @ac_edwards_1 and his…
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